innovation around data and ai for fraud detection
TRANSCRIPT
Data and AI Innovations for Fraud DetectionKenneth Chenis, Chief Architect, ACI Worldwide
Kartavya Jain (KJ), Product Marketing Manager, DataStax
January 2018
• ACI Worldwide – Universal
Payments
• ACI WorldWide Use Case -
Fraud Detection and
Prevention with DataStax
• DataStax – Powering the right-
Now Enterprise
• Q & A
© DataStax, All Rights Reserved.2
Agenda
• Patents pending
Complex event processing
Machine Learning
Payments initiation
• Diverse background
in enterprise software
technologies
Payments
Healthcare
Customer relationship
management
• Chief Architect,
ACI Worldwide
Fraud prevention
Security
SaaS/cloud
About Me
What is
Universal Payments?
The breadth and depth of our solution set• ACI’s solution set and payment capabilities are unrivaled in
the market
• Retail to wholesale banking, consumers to the largest corporations, global and proven
• Enables our customers to adopt an enterprise payments approach
Our unique payments technology • The frameworks, designs, tools and infrastructure that
underpin flexibility, responsiveness, differentiation and productivity
Foundation for real-time, any-to-any payments• Equips our customers for leading-edge payments solutions
Fraud capabilities across all payment segments
ACI’s UP® Solutions Span the Payments Ecosystem
ACI at a Glance
18 of the world’s top 20
banks rely on ACI
software
Prevent fraud for 370+
payment organizations
worldwide
Serve 300+ retailers
globally
Handle bill pay for
4,000+ organizations
Global customer base
in 80+ countries on
6 continents
40+ years of payments
expertise
24x7x365 global support
organization
4,600+ customers use
hosted solutions
Invest approximately
14% on R&D annually
ACI’s Global Reach and Scale
5,100+ customers in over 80 countries rely on ACI solutions
4,500+ employeesin 35 countries
60 month backlog $4.3B+
(EOY 2015)
R&D~14%
AMERICAS
4,600+ customers
EMEA
400+ customers
ASIA/PACIFIC
200+ customers
2015 Revenue $1.05B
Any customer, any channel, any payment type – One solution
Enterprise Fraud Monitoring
The World of Data We Live in
Payments and fraud are following suit
The Digital Universe Is Growing
Data volume, variety and velocity
Cross-Section View of Fraud Detection
Data Science/Risk AnalysisReal-Time Decision Making
Machine
Learning
Visual Data
Exploration
Social
Analytics
Decision
Science
Rule
Strategies
Data Lake
Big Data
Environment
Aquire, organize, analyze, react
Turning Data into Decisions
Patterns
Algorithms
Strategies
Features
Rules
Models
Information
Analytic
Engine
Challenges
Payments Fraud Drivers and Pressures
Mobile
U.S. EMV/ Liability Shift
Immediate Payments
Data Breaches
Attacks on Central Infrastructures
Internal Threats
Cross-Border
Card-Not-Present
Data Theft
Consumer
Bank/Issuer
Merchant
Acquirer/
Processor
Challenges
Sophisticated Nature of the Threats
Consumer
Bank/Issuer
Merchant
Acquirer/
Processor
Automated
Constantly Varied
Ecosystem-aware
Brute Force
Real-time
How ACI Addresses Challenges
Research and Development Innovation Events
University Research Partnerships Sandbox Environments
Proof of Concepts
Continuous
Learning
High Performance
Transaction
Processing
Machine Learning
Data Visualization Shared Learning
• Small innovations lead to product breakthroughs…
Building off of success
Innovation Results
Innovations Solving Problems
Features /
Rules
CEP EngineEvent
Receiver
Transactions /
Events from UPF
and other
endpoints
Implementation
Generator
Meta Data
Service
Data
Integration
Models
Batch Engine
Scoring
Service
Big Data Engine
Analytics Engine
Innovations Creating Value
• Transactions
• Demographics
• Profiles
• Global Consortia
• 3rd Party Data
• Social Media
Fraud / Risk
Loyalty / Rewards / Offers
Intelligent Routing
Other …
Kartavya Jain (KJ), Product Marketing Manager, DataStax
• A unified data layer of database, search, and analytics, all
independent of the public cloud provider
• Consistent data management layer built for on-prem,
hybrid-, and/or multi-cloud, that can be self-managed or
fully managed by DataStax
• Provides customers data autonomy with flexibility in
infrastructure choice
• Multi-model (tabular, graph, key-value, document/JSON)
• Consistent security model across entire data layer
• Row and columnar level control of your data helps you
achieve data governance and compliance
DataStax Enterprise is powering the
Right-Now Enterprise
